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  Computational psychiatry for computers

Schulz, E., & Dayan, P. (2020). Computational psychiatry for computers. iScience, 23(12): 101772. doi:10.1016/j.isci.2020.101772.

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Schulz, E1, 2, Author           
Dayan, P2, 3, Author           
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1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              

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 Abstract: Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits of environmental adaptivity and the danger and necessity of heuristics. Here, we examine the extent to which these foci and others can be used to study the actual and potential flaws of the artificial computational devices that we are increasingly inventing and empowering to navigate this very same environment on our behalf.

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 Dates: 2020-12
 Publication Status: Published online
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 Identifiers: DOI: 10.1016/j.isci.2020.101772
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Title: iScience
Source Genre: Journal
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Publ. Info: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Pages: 9 Volume / Issue: 23 (12) Sequence Number: 101772 Start / End Page: - Identifier: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042